no code implementations • 10 Feb 2020 • Leonid Berlyand, Pierre-Emmanuel Jabin, C. Alex Safsten
Our main result consists of two novel conditions on the classifier which, if either is satisfied, ensure stability of training, that is we derive tight bounds on accuracy as loss decreases.
